What challenges did eClinicalWorks face before AI implementation?

High volumes of manual paperwork and medical fax processing burdened healthcare professionals. Sorting and categorizing medical records was a time-consuming, error-prone manual process. Clinical workflows suffered from inefficiencies, limiting time spent on patient care. Nurses and care teams spent a significant portion of their work hours documenting and processing information.

What was the impact of the AI solution?

Thousands of practitioners saved significant time by reducing paperwork. Healthcare delivery and patient outcomes significantly improved through better workflow automation.

Source

MicrosoftEvidence: Low25/100

eClinicalWorks Accelerates Clinical Efficiency by Reducing Paperwork with AI

Use case typeClinical documentationUpdated Jun 13, 2026

eClinicalWorks, a leading US healthcare IT company, tackled the inefficiencies of manual paperwork and document management prevalent in the healthcare sector, where millions of faxes are still exchanged annually. Using a suite of Microsoft technologies—including Azure AI Services, Azure AI Document Intelligence, Copilot Studio, Microsoft Fabric, and Azure AI Studio—they created AI solutions for automating administrative workflows. The AI-powered system sorts and matches faxed medical records to patient charts automatically, reducing administrative burden. Additional AI agents were implemented for scheduling, patient triage, and automated nursing documentation, freeing up clinical staff to focus more on patient care. Evolvous contributed as a partner in redefining healthcare solutions using the Microsoft ecosystem. The transformation enabled thousands of practitioners to save hours previously spent on paperwork, boost documentation accuracy and efficiency, and fundamentally transform clinical delivery.

Organization: eClinicalWorks
Industry: Healthcare
Location: United States
Published: December 2024

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: eClinicalWorks
Provider: Microsoft
Maturity: Unknown
Linked source: linkedin.com

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1AI-powered Automated Medical Record Sorting
2AI Agent for Healthcare Scheduling and Triage
3Automated Nursing Workflow Documentation

Developed enterprise-scale AI tools using Azure AI Document Intelligence to automate scanning, sorting, and archiving of faxes.
Applied healthcare-specific AI models through Azure AI Studio to enhance data analysis and triage.
Leveraged Copilot Studio to build AI agents for automating appointment scheduling and patient triaging.
Utilized Microsoft Fabric for unified data management and analytics across healthcare workflows.

Technologies

Azure AI Services Azure AI Document Intelligence Copilot Studio Microsoft Fabric Azure AI Studio

Thousands of practitioners saved significant time by reducing paperwork.
Healthcare delivery and patient outcomes significantly improved through better workflow automation.

Architecture

Azure AI Document Intelligence automates the scanning and categorization of medical records; AI healthcare models are deployed via Azure AI Studio for data analysis and triage; Copilot Studio is used to create AI agents for scheduling and documentation; Microsoft Fabric provides integrated data analytics and management for workflow optimization.

Sources & evidence1

Evidence: Low25/100Evidence strength